Ask AI

Source code for dagster._core.execution.validate_run_config

from typing import Any, Mapping, Optional, Union

import dagster._check as check
from dagster._core.definitions import JobDefinition
from dagster._core.definitions.run_config import RunConfig, convert_config_input
from dagster._core.system_config.objects import ResolvedRunConfig


[docs] def validate_run_config( job_def: JobDefinition, run_config: Optional[Union[Mapping[str, Any], RunConfig]] = None, ) -> Mapping[str, Any]: """Function to validate a provided run config blob against a given job. If validation is successful, this function will return a dictionary representation of the validated config actually used during execution. Args: job_def (JobDefinition): The job definition to validate run config against run_config (Optional[Dict[str, Any]]): The run config to validate Returns: Dict[str, Any]: A dictionary representation of the validated config. """ check.inst_param(job_def, "job_def", JobDefinition) run_config = check.opt_mapping_param( convert_config_input(run_config), "run_config", key_type=str ) return ResolvedRunConfig.build(job_def, run_config).to_dict()